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Getting Started with R

In this 2 hour-long project, you will learn the basics of R programming language. In addition, you will take your first steps in the use of R programming language for Data Analysis.

By the end of this 2-hour long project, you will understand how to use the R GUI called R studio. By extension, you will learn the different data types and data structures used in R. Finally, you will learn how to install packages and how to import data sets into the R studio work space.

In this 2 hour-long project, you will learn the basics of R programming language. In addition, you will take your first steps in the use of R programming language for Data Analysis.

This course is aimed at learners who are looking to get started with the R programming language. There are no hard prerequisites and any competent computer user should be able to complete the project successfully.

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What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Introduces learners to a new software, R programming language

Guides learners through use of R programming language for Data Analysis

Introduces R GUI called R Studio for data analysis

Open to a wide range of computer users

Lays a foundation for using R programming language

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Reviews summary

Essential r introduction for beginners

According to learners, this course is an excellent starting point for anyone new to the R programming language and data analysis, particularly those with no prior programming experience. Students frequently highlight the clear, step-by-step instructions and the hands-on approach, making it easy to apply concepts immediately. While it's lauded for providing a solid foundation and an introduction to RStudio, many also note that its 2-hour duration means it only scratches the surface and is truly geared towards getting started, rather than advanced topics. Its practical examples are frequently praised, though some felt the pace was occasionally swift.

Provides clear, easy-to-follow instructions with practical examples.

"The instructions are clear and easy to follow, even for someone completely new to programming. I especially liked the hands-on approach."

"I appreciated the practical examples and how smoothly the exercises integrated with the explanations."

"The instructor's explanations were always clear. I now feel confident to explore R further."

"The RStudio interface explanation was particularly useful."

Perfectly suited for those with no prior programming or R experience.

"This course is an excellent introduction to R and RStudio... for someone completely new to programming."

"Perfect for absolute beginners! The instructor explains everything step-by-step and the pace is just right."

"As a complete beginner, this course was invaluable. It broke down complex topics into digestible pieces..."

"If you already have some programming background, this might be too basic for you, but it's fine for total newbies."

Some learners found the pace swift, potentially requiring extra effort.

"Some parts felt a bit rushed, and I would have liked more challenging exercises."

"Maybe a bit too fast for some, but I managed."

"I found this course somewhat lacking. I had to look up a lot of things externally."

A concise introduction that covers basics but doesn't delve deeply.

"It's quite short and only scratches the surface. Don't expect to become a data analysis expert after this. It's truly 'getting started'."

"Decent course for an introduction. Some parts felt a bit rushed, and I would have liked more challenging exercises."

"It won't make you an expert, but it provides a solid launchpad."

"While it does cover the basics, the explanations weren't always thorough enough for me... It felt very surface-level."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting Started with R with these activities:

Review R fundamentals

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Recall and prepare foundational knowledge on R programming fundamentals to refresh memory and improve course comprehension.

Browse courses on R Programming

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Review R syntax and data types
Practice writing simple R expressions
Review functions and packages in R

Seek guidance from R programming mentors

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Connect with experienced R programmers to gain insights, receive personalized guidance, and enhance learning outcomes.

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Identify potential mentors within the R programming community
Reach out and request guidance, feedback, and support
Attend workshops or events where R programming mentors are present

Follow R tutorials for beginners

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Explore external R programming tutorials and resources to supplement the course material and enhance practical skills.

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Identify reputable R programming tutorials
Follow tutorials to practice basic R functions and concepts
Experiment with code examples and apply to practice problems

Four other activities

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Solve R programming exercises

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Reinforce understanding of R concepts by solving practice problems and exercises to solidify knowledge.

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Find R programming exercises and practice problems
Solve exercises and debug code independently
Review solutions and reflect on areas for improvement

Participate in R programming study group

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Collaborate and connect with peers to discuss R concepts, share knowledge, and enhance understanding through collective learning.

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Join or form a peer study group focused on R programming
Meet regularly to discuss course material, solve problems, and exchange ideas
Provide support and feedback to group members

Build a simple R project

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Apply R programming skills to a practical project, demonstrating proficiency and enhancing understanding of real-world applications.

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Identify a small-scale R programming project idea
Gather and prepare data for the project
Write R code to analyze data and present findings

Organize and review course materials

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Organize and review notes, exercises, and resources from the course to enhance retention and understanding.

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Gather and organize course materials in a structured format
Review materials regularly to reinforce concepts
Identify areas for further exploration and research

Career center

Learners who complete Getting Started with R will develop knowledge and skills that may be useful to these careers:

Statistician

Statisticians use their knowledge of mathematics and statistics to design and conduct surveys, collect and analyze data, and interpret the results. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Statistician.

See salaries and explore the career path for Statistician

Data Analyst

Data Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Data Scientist.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers use their skills in data analysis and machine learning to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Business Analyst.

See salaries and explore the career path for Business Analyst

Research Analyst

Research Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Research Analyst.

See salaries and explore the career path for Research Analyst

Financial Analyst

Financial Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Quantitative Analyst

Quantitative Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as an Actuary.

See salaries and explore the career path for Actuary

Operations Research Analyst

Operations Research Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Data Engineer

Data Engineers use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Data Engineer.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Software Engineer.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Web Developer.

See salaries and explore the career path for Web Developer

Data Architect

Data Architects use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Data Architect.

See salaries and explore the career path for Data Architect

Big Data Analyst

Big Data Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Big Data Analyst.

See salaries and explore the career path for Big Data Analyst

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started with R.